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    PERFORMANCE IN MODEL-BASED OPC ENGINE UTILIZING EFFICIENT POLYGON PINNING METHOD
    12.
    发明申请
    PERFORMANCE IN MODEL-BASED OPC ENGINE UTILIZING EFFICIENT POLYGON PINNING METHOD 失效
    基于模型的OPC引擎的性能运用有效的聚合方式

    公开(公告)号：US20070226677A1

    公开(公告)日：2007-09-27

    申请号：US11756883

    申请日：2007-06-01

    申请人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    发明人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    IPC分类号： G06F17/50

    CPC分类号： G03F1/36

    摘要： Methods, and a program storage device for executing such methods, for performing model-based optical proximity correction by providing a mask matrix having a region of interest (ROI) and locating a plurality of points of interest within the mask matrix. A first polygon having a number of vertices representative of the located points of interest is computed, followed by determining a spatial relation between its vertices and the ROI. The vertices of the first polygon are then pinned to boundaries of and within the ROI such that a second polygon is formed on the ROI. The process is repeated for all vertices of the first polygon such that the second polygon is collapsed onto the ROI. This collapsed second polygon is then used to correct for optical proximity.

    摘要翻译： 方法和用于执行这种方法的程序存储装置，用于通过提供具有感兴趣区域（ROI）的掩模矩阵并且在掩模矩阵内定位多个感兴趣点来执行基于模型的光学邻近校正。 计算具有代表所述定位的兴趣点的顶点数的第一多边形，然后确定其顶点和ROI之间的空间关系。 然后将第一多边形的顶点固定在ROI的边界和内部，使得在ROI上形成第二多边形。 对第一多边形的所有顶点重复该过程，使得第二多边形折叠到ROI上。 然后使用这个折叠的第二个多边形来校正光学接近度。

    SYSTEM FOR SEARCH AND ANALYSIS OF SYSTEMATIC DEFECTS IN INTEGRATED CIRCUITS
    13.
    发明申请
    SYSTEM FOR SEARCH AND ANALYSIS OF SYSTEMATIC DEFECTS IN INTEGRATED CIRCUITS 有权
    集成电路系统缺陷的搜索与分析系统

    公开(公告)号：US20070211933A1

    公开(公告)日：2007-09-13

    申请号：US11748575

    申请日：2007-05-15

    申请人： Bette Reuter ,  David DeMaris ,  Mark Lavin ,  William Leipold ,  Daniel Maynard ,  Maharaj Mukherjee

    发明人： Bette Reuter ,  David DeMaris ,  Mark Lavin ,  William Leipold ,  Daniel Maynard ,  Maharaj Mukherjee

    IPC分类号： G06K9/00

    CPC分类号： G06T7/001 ,  G06T2207/30148

    摘要： Disclosed is a method of locating systematic defects in integrated circuits. The invention first performs a preliminary extracting and index processing of the circuit design and then performs feature searching. When performing the preliminary extracting and index processing the invention establishes a window grid for the circuit design and merges basis patterns with shapes in the circuit design within each window of the window grid. The invention transforms shapes in a each window into feature vectors by finding intersections between the basis patterns and the shapes in the windows. Then, the invention clusters the feature vectors to produce an index of feature vectors. After performing the extracting and index processing, the invention performs the process of feature searching by first identifying a defect region window of the circuit layout and similarly merging basis patterns with shapes in the defect region window. This merging process can include rotating and mirroring the shapes in the defect region. The invention similarly transforms shapes in the defect region window into defect vectors by finding intersections between basis patterns and the shapes in the defect region. Then, the invention can easily find feature vectors that are similar to the defect vector using, for example, representative feature vectors from the index of feature vectors. Then, the similarities and differences between the defect vectors and the feature vectors can be analyzed.

    摘要翻译： 公开了一种定位集成电路系统缺陷的方法。 本发明首先进行电路设计的初步提取和索引处理，然后执行特征搜索。 当执行初步提取和索引处理时，本发明建立了用于电路设计的窗口网格，并且将窗体网格的每个窗口内的电路设计中的形状与基本图案合并。 本发明通过在窗口中找到基本图案和形状之间的交点来将每个窗口中的形状转换为特征向量。 然后，本发明聚集特征向量以产生特征向量的索引。 在执行提取和索引处理之后，本发明通过首先识别电路布局的缺陷区域窗口并且将基本模式与缺陷区域窗口中的形状类似地合并来执行特征搜索的处理。 该合并过程可以包括旋转和镜像缺陷区域中的形状。 本发明类似地通过在缺陷区域中找到基础图案和形状之间的交点来将缺陷区域窗口中的形状转换为缺陷向量。 然后，本发明可以使用例如来自特征向量的索引的代表性特征向量容易地找到与缺陷向量相似的特征向量。 然后，可以分析缺陷向量和特征向量之间的相似性和差异。

    Simultaneous computation of multiple points on one or multiple cut lines
    15.
    发明申请
    Simultaneous computation of multiple points on one or multiple cut lines 有权
    在一条或多条切割线上同时计算多个点

    公开(公告)号：US20050089211A1

    公开(公告)日：2005-04-28

    申请号：US10694299

    申请日：2003-10-27

    申请人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    发明人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    IPC分类号： H01L21/027 ,  G03F1/14 ,  G03F7/20 ,  G06K9/00 ,  H01L21/00

    CPC分类号： G03F1/36

    摘要： Methods, and program storage devices, for performing model-based optical proximity correction by providing a region of interest (ROI) having an interaction distance and locating at least one polygon within the ROI. A cut line of sample points representative of a set of vertices, or plurality of cut lines, are generated within the ROI across at least one lateral edge of the polygon(s). An angular position, and first and second portions of the cut line residing on opposing sides of an intersection between the cut line and the lateral edge of the polygon are determined, followed by generating a new ROI by extending the original ROI beyond its interaction distance based on such angular position, and first and second portions of the cut line. In this manner, a variety of new ROIs may be generated, in a variety of different directions, to ultimately correct for optical proximity.

    摘要翻译： 方法和程序存储设备，用于通过提供具有交互距离的感兴趣区域（ROI）和定位ROI内的至少一个多边形来执行基于模型的光学邻近度校正。 在多边形的至少一个侧边缘上，在ROI内产生代表一组顶点或多个切割线的采样点的切割线。 确定角位置，并且切割线的位于切割线和多边形的侧边缘之间的交叉点的相对侧上的切割线的第一和第二部分，然后通过将原始ROI延伸超过其相互作用距离来生成新的ROI 在这种角度位置上，以及切割线的第一和第二部分。 以这种方式，可以在各种不同的方向上产生各种新的ROI，以最终校正光学邻近度。

    SIMULTANEOUS COMPUTATION OF MULTIPLE POINTS ON ONE OR MULTIPLE CUT LINES
    16.
    发明申请
    SIMULTANEOUS COMPUTATION OF MULTIPLE POINTS ON ONE OR MULTIPLE CUT LINES 有权
    在多个切割线上同时计算多个点

    公开(公告)号：US20080037858A1

    公开(公告)日：2008-02-14

    申请号：US11874281

    申请日：2007-10-18

    申请人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    发明人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    IPC分类号： G06K9/00

    CPC分类号： G03F1/36

    摘要： Methods, and program storage devices, for performing model-based optical proximity correction by providing a region of interest (ROI) having an interaction distance and locating at least one polygon within the ROI. A cut line of sample points representative of a set of vertices, or plurality of cut lines, are generated within the ROI across at least one lateral edge of the polygon(s). An angular position, and first and second portions of the cut line residing on opposing sides of an intersection between the cut line and the lateral edge of the polygon are determined, followed by generating a new ROI by extending the original ROI beyond its interaction distance based on such angular position, and first and second portions of the cut line. In this manner, a variety of new ROIs may be generated, in a variety of different directions, to ultimately correct for optical proximity.

    摘要翻译： 方法和程序存储设备，用于通过提供具有交互距离的感兴趣区域（ROI）和定位ROI内的至少一个多边形来执行基于模型的光学邻近度校正。 在多边形的至少一个侧边缘上，在ROI内产生代表一组顶点或多个切割线的采样点的切割线。 确定角位置，并且切割线的位于切割线和多边形的侧边缘之间的交叉点的相对侧上的切割线的第一和第二部分，然后通过将原始ROI延伸超过其相互作用距离来生成新的ROI 在这种角度位置上，以及切割线的第一和第二部分。 以这种方式，可以在各种不同的方向上产生各种新的ROI，以最终校正光学邻近度。

    Performance in model-based OPC engine utilizing efficient polygon pinning method
    20.
    发明申请
    Performance in model-based OPC engine utilizing efficient polygon pinning method 有权
    在基于模型的OPC引擎中使用高效多边形钉扎方法的性能

    公开(公告)号：US20050091014A1

    公开(公告)日：2005-04-28

    申请号：US10694473

    申请日：2003-10-27

    申请人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    发明人： Gregg Gallatin ,  Emanuel Gofman ,  Kafai Lai ,  Mark Lavin ,  Maharaj Mukherjee ,  Dov Ramm ,  Alan Rosenbluth ,  Shlomo Shlafman

    IPC分类号： G03F1/08 ,  G03F1/14 ,  G03F7/20 ,  G06F17/10 ,  G06F17/50 ,  H01L21/00 ,  H01L21/027

    CPC分类号： G03F1/36

    摘要： Methods, and a program storage device for executing such methods, for performing model-based optical proximity correction by providing a mask matrix having a region of interest (ROI) and locating a plurality of points of interest within the mask matrix. A first polygon having a number of vertices representative of the located points of interest is computed, followed by determining a spatial relation between its vertices and the ROI. The vertices of the first polygon are then pinned to boundaries of and within the ROI such that a second polygon is formed on the ROI. The process is repeated for all vertices of the first polygon such that the second polygon is collapsed onto the ROI. This collapsed second polygon is then used to correct for optical proximity.

    摘要翻译： 方法和用于执行这种方法的程序存储装置，用于通过提供具有感兴趣区域（ROI）的掩模矩阵并且在掩模矩阵内定位多个感兴趣点来执行基于模型的光学邻近校正。 计算具有代表所述定位的兴趣点的顶点数的第一多边形，然后确定其顶点和ROI之间的空间关系。 然后将第一多边形的顶点固定在ROI的边界和内部，使得在ROI上形成第二多边形。 对第一多边形的所有顶点重复该过程，使得第二多边形折叠到ROI上。 然后使用这个折叠的第二个多边形来校正光学接近度。